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Responsible machine learning (responsible ML)

Develop, use, and govern AI solutions responsibly with Azure AI

Build trusted solutions responsibly with Azure AI

Take advantage of state-of-the-art technology to build responsible AI applications, from development to deployment. Put responsible AI principles into practise in machine learning and cognitive services, and build trust with your customers. Learn how to apply responsible AI in the financial and healthcare industries.

Responsible development of AI solutions for fairness, reliability, and explainability to deliver trusted outcomes

Responsible usage of AI solutions by applying guidance to optimise performance while minimising harm when deployed

Responsible governance of AI solutions for transparency and accountability to achieve positive outcomes

Develop responsibly for fairness and explainability

Assess your machine learning model using the responsible AI dashboard. Evaluate with reproducible and automated workflows to assess model fairness, explainability, error analysis, causal analysis, model performance, and exploratory data analysis.

Use AI solutions responsibly in deployment

Make real-life interventions and policies with causal analysis in the responsible AI dashboard. Generate a responsible AI scorecard for trained machine learning models in your Azure Machine Learning workspace at deployment time.

Govern for transparency and accountability

Export the responsible AI scorecard for your machine learning models to a PDF to contextualize responsible AI metrics. Share it with both technical and non-technical audiences to involve stakeholders and streamline compliance review.

Comprehensive security and compliance, built in

Get started with an Azure free account

Start free. Get $200 credit to use within 30 days. While you have your credit, get free amounts of many of our most popular services, plus free amounts of 40+ other services that are always free.

After your credit, move to pay as you go to keep building with the same free services. Pay only if you use more than your free monthly amounts.

After 12 months, you'll keep getting 40+ always-free services—and still pay only for what you use beyond your free monthly amounts.

Customers using Azure responsible AI

Northumbria Healthcare NHS Foundation Trust

"The responsible AI dashboard will give us a better indication about what would happen to patients requiring hip and knee surgery, which will allow us to have a more meaningful conversation with them as we work to provide the best care possible."

Mike Reed, Consultant Trauma and Orthopedic Surgeon, Northumbria Healthcare NHS Foundation Trust
NHS

EY

"We see Azure Machine Learning and our partnership with Microsoft as critical to driving increased adoption and acceptance of AI from the regulators."

Alex Mohelsky, Partner and Advisory Data, Analytic, and AI Leader, EY Canada
Ernst & Young

SAS

"With model interpretability in Azure Machine Learning, we have a high degree of confidence that our machine learning model is generating meaningful and fair results."

Daniel Engberg, Head of Data Analytics and Artificial Intelligence, Scandinavian Airlines
Scandinavian Airlines

See responsible ML in action

Get better visibility into models to explain their behavior

Get better visibility into models to explain their behavior

Get better visibility into models to explain their behavior

Make critical decisions with models that are without hidden biases

Make critical decisions with models that are without hidden biases

Make critical decisions with models that are without hidden biases

Using differential privacy techniques to protect sensitive datasets

Using differential privacy techniques to protect sensitive datasets

Using differential privacy techniques to protect sensitive datasets

Build your machine learning skills with Azure

Learn more about machine learning on Azure and participate in hands-on tutorials with a 30-day learning journey. By the end, you'll be prepared to take the Azure Data Scientist Associate Certification.

Ready when you are—let us set up your Azure free account

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